This course is part of the Survey Data Collection and Analytics Specialization

Frauke Kreuter, Ph.D. +3 more instructors

Offered By

University of Michigan

University of Maryland, College Park

Survey Data Collection and Analytics SpecializationUniversity of Michigan

About this Course

The Capstone Project offers qualified learners to the opportunity to apply their knowledge by analyzing and comparing multiple data sources on the same topic. Students will develop a research question, access and analyze relevant data, and critically examine the quality of each data source.
At the completion of this capstone, students will have demonstrated hands-on data analysis capability, evaluated the quality of different data sources using the Total Survey Error approach, involving at least some of the following: comparing weighted non-probability samples to data collected from probability samples, using sampling techniques to correct for coverage errors, and tracking and assess the ease of using an online questionnaire that you implement.

Flexible deadlines

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Shareable Certificate

Earn a Certificate upon completion

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Course 7 of 7 in the

Survey Data Collection and Analytics Specialization

Approx. 14 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 7 of 7 in the

Survey Data Collection and Analytics Specialization

Approx. 14 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Offered by

University of Michigan

University of Maryland, College Park

The University of Maryland is the state's flagship university and one of the nation's preeminent public research universities. A global leader in research, entrepreneurship and innovation, the university is home to more than 37,000 students, 9,000 faculty and staff, and 250 academic programs. Its faculty includes three Nobel laureates, three Pulitzer Prize winners, 47 members of the national academies and scores of Fulbright scholars. The institution has a $1.8 billion operating budget, secures $500 million annually in external research funding and recently completed a $1 billion fundraising campaign.

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Syllabus - What you will learn from this course

Week1

Week 1

5 hours to complete

Questionnaire Design

5 hours to complete

2 readings

Week2

Week 2

4 hours to complete

Questionnaire Implementation

4 hours to complete

Week3

Week 3

3 hours to complete

Sampling and Weighting

Conduct a two-stage sampling project. You will select a two-stage stratified sample from a population that is based on data from the 2015 National Health Interview Survey done in the United States. You will complete three steps: (1) Select a sample of two block groups in each stratum with probabilities proportional to the number of persons in each block group. This requires counting the number of persons in each block group by stratum to plan five separate selections of two block groups in each stratum. (2) Then select a simple random sample without replacement (srswor) of 10% of the persons within each sample block group. (3) Calculate weights for each sample case and compute weighted estimates from the sample.

3 hours to complete

Week4

Week 4

2 hours to complete

Data Analysis

2 hours to complete

1 reading

About the Survey Data Collection and Analytics Specialization

This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains. In six courses, you will learn the basics of questionnaire design, data collection methods, sampling design, dealing with missing values, making estimates, combining data from different sources, and the analysis of survey data. In the final Capstone Project, you’ll apply the skills learned throughout the specialization by analyzing and comparing multiple data sources.

Faculty for this specialisation comes from the Michigan Program in Survey Methodology and the Joint Program in Survey Methodology, a collaboration between the University of Maryland, the University of Michigan, and the data collection firm Westat, founded by the National Science Foundation and the Interagency Consortium of Statistical Policy in the U.S. to educate the next generation of survey researchers, survey statisticians, and survey methodologists. In addition to this specialization we offer short courses, a summer school, certificates, master degrees as well as PhD programs.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Survey Data Collection and Analytics Project (Capstone)

About this Course

Instructors

Frauke Kreuter, Ph.D.

Frederick Conrad, Ph.D.

James M Lepkowski

Richard Valliant, Ph.D.

Offered by

University of Michigan

University of Maryland, College Park

Syllabus - What you will learn from this course

Questionnaire Design

Questionnaire Implementation

Sampling and Weighting

Data Analysis

About the Survey Data Collection and Analytics Specialization

Frequently Asked Questions

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Survey Data Collection and Analytics Project (Capstone)

About this Course

Instructors

Frauke Kreuter, Ph.D.

Frederick Conrad, Ph.D.

James M Lepkowski

Richard Valliant, Ph.D.

Offered by

University of Michigan

University of Maryland, College Park

Syllabus - What you will learn from this course

Questionnaire Design

Questionnaire Implementation

Sampling and Weighting

Data Analysis

About the Survey Data Collection and Analytics Specialization

Frequently Asked Questions

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Learn Something New

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